Thu, Nov 9 PM
13:00 - 15:30 |
| (1) |
13:00-15:30 |
|
|
| (2) |
13:00-15:30 |
[Poster Presentation]
Extraction of Distribtion Changes using On-line t-SNE |
Daisuke Kaji (Denso), Masahiro Kobayashi, Kazuho Watanabe (Toyohashi Tech.) |
| (3) |
13:00-15:30 |
Calculation method for grid-structured markov random field using corner transfer matrix renormalization group |
Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) |
| (4) |
13:00-15:30 |
[Poster Presentation]
Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning |
Naoki Hayashi, Sumio Watanabe (TokyoTech) |
| (5) |
13:00-15:30 |
[Poster Presentation]
Empirical Bayesian Tree |
Masashi Sekino (SMN) |
| (6) |
13:00-15:30 |
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning |
Tomoya Sakai, Gang Niu (UTokyo/RIKEN), Masashi Sugiyama (RIKEN/UTokyo) |
| (7) |
13:00-15:30 |
Application of Transfer Learning to Smallscale Data and Its Evaluation Using Open Datasets |
Arika Fukushima, Toru Yano, Shuuichiro Imahara, Hideyuki Aisu (Toshiba) |
| (8) |
13:00-15:30 |
[Poster Presentation]
Evaluation of Machine Learning Methods for Anomaly Detection Using New Kyoto2006+ Dataset |
Hisashi Takahara (UNP) |
| (9) |
13:00-15:30 |
[Poster Presentation]
Material search for Li-ion battery electrolytes by exhaustive search with Gaussian Process modeling |
Tomofumi Nakayama (Univ. Tokyo), Yasuhiko Igarashi, Keitaro Sodeyama (NIMS), Masato Okada (Univ. Tokyo) |
| (10) |
13:00-15:30 |
[Poster Presentation]
Post Clustering Inference for Heterogeneous Data |
Shigenori Inoue, Yuta Umezu (NIT), Shoma Tsubota (Nagoya Univ.), Ichiro Takeuchi (NIT/RIKEN/NIMS) |
| (11) |
13:00-15:30 |
Robust one dimensional phase unwrapping using Markov random fields |
Yasuhisa Nakashima (Univ. Tokyo), Yasuhiko Igarashi (JST), Yasushi Naruse (NICT), Masato Okada (Univ. Tokyo) |
| (12) |
13:00-15:30 |
Regression Method for Noisy Inputs based on Naradaya-Watson Estimator constructed from Noiseless Training Data |
Ryo Hanafusa, Takeshi Okadome (Kwansei Gakuin Univ.) |
| (13) |
13:00-15:30 |
Online Optimization Method for Generalized $ell_1$ Regularized Problems |
Yoshihiro Nakazato, Kazuto Fukuchi (Tsukuba Univ.), Jun Sakuma (Tsukuba Univ./Riken/JST) |
| (14) |
13:00-15:30 |
|
|
| (15) |
13:00-15:30 |
Hidden Semi-Markov Model Representing State Overlap for Multiple Sequential Data Input |
Hiromi Narimatsu, Hiroyuki Kasai (UEC) |
| (16) |
13:00-15:30 |
Quantum inspired Machine Learning through Entanglement Entropy |
Masaru Tanaka (Fukuoka UNiv.) |
| (17) |
13:00-15:30 |
Nonconvex Sparse Optimization with Submodularity |
Naoki Marumo, Tomoharu Iwata (NTT) |
| (18) |
13:00-15:30 |
Regularization of learning prameters in posterior mean estimate approximation in CS-SENSE method |
Ken Harada, Masato Inoue (Waseda Univ.), Kaori Togashi (Kyoto Univ.) |
| (19) |
13:00-15:30 |
Consequently Fair Contextual Bandit Learning |
Kazuto Fukuchi (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/JST/RIKEN) |
| (20) |
13:00-15:30 |
|
|
| (21) |
13:00-15:30 |
Evaluation of KL-divergence between Gaussian process posteriors by finite dimensional normal distributions |
Hideaki Ishibashi, Tetsuo Furukawa (Kyutech), Shotaro Akaho (AIST) |
| (22) |
13:00-15:30 |
Clinical Decision Support System based on Co-occurrence Analysis of Disease Names
-- Utilization of Clinical Big Text Data by Artificial Intelligence -- |
Ken Yano, Eiji Aramaki (NAIST) |
| (23) |
13:00-15:30 |
Efficient modal regression using gradient ascent and descent method |
Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) |
| (24) |
13:00-15:30 |
[Poster Presentation]
Learning huge Bayesian networks using RAI algorithm based on Bayes factor |
Kazuki Natori, Masaki Uto, Maomi Ueno (UEC) |
| (25) |
13:00-15:30 |
Bayesian nonparametric model for uncountable factor analysis |
Masahiro Nakano (NTT), Daichi Mochihashi, Tomoko Matsui (ISM), Kunio Kashino (NTT) |
| (26) |
13:00-15:30 |
Fast Computation of Lower Bounds for Privacy Evaluations, Based on Binary Decision Diagrams |
Shogo Takeuchi (Univ. of Tokyo), Kosuke Kusano, Jun Sakuma (Univ. of Tsukuba), Koji Tsuda (Univ. of Tokyo) |
| (27) |
13:00-15:30 |
|
|
Fri, Nov 10 PM
13:00 - 15:30 |
| (28) |
13:00-15:30 |
Analysis of Dropout in online learning |
Kazuyuki Hara (Nihon Univ.) |
| (29) |
13:00-15:30 |
[Poster Presentation]
Binary Classification from Positive-Confidence Data |
Takashi Ishida (SMAM/UTokyo/RIKEN), Gang Niu (UTokyo/RIKEN), Masashi Sugiyama (RIKEN/UTokyo) |
| (30) |
13:00-15:30 |
Rotated Image Recognition by Continuous execution of Angle Estimation Using a Feature Map with CNN |
Nishiki Katayama, Satoshi Yamane (Kanazawa Univ.) |
| (31) |
13:00-15:30 |
Safe Screening for Large Margin Metric Learning |
Tomoki Yoshida (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST) |
| (32) |
13:00-15:30 |
Convolutional Neural Network with Entanglement Entropy |
Shu Eguchi, Masaru Tanaka (Fukuoka Univ.) |
| (33) |
13:00-15:30 |
[Poster Presentation]
Multi-Task Learning with Positive and Unlabeled Data and Its Application to Mental State Prediction |
Hirotaka Kaji, Hayato Yamaguchi (Toyota Motor), Masashi Sugiyama (RIKEN/UTokyo) |
| (34) |
13:00-15:30 |
Hierarchical Reinforcement Learning Based on Return-Weighted Density Estimation |
Takayuki Osa (UTokyo/RIKEN), Masashi Sugiyama (RIKEN/UTokyo) |
| (35) |
13:00-15:30 |
[Poster Presentation]
Improvement of learning method with convolutional restricted Boltzmann machine based on PCD |
Ryosuke Ishi, Reiki Suda, Koujin Takeda (Ibaraki Univ.) |
| (36) |
13:00-15:30 |
[Poster Presentation]
Bin width optimization of multidimensional histogram on count data |
Kensuke Muto, Hirotaka Sakamoto, Keisuke Matsuura, Takahisa Arima, Masato Okada (Tokyo Univ.) |
| (37) |
13:00-15:30 |
[Poster Presentation]
Nonlinear parametric model based on power law for tsunami height prediction |
Masashi Yoshikawa (UT), Yasuhiko Igarashi (JST), Shin Murata (UT), Toshitaka Baba (TU), Takane Hori (JAMSTEC), Masato Okada (UT) |
| (38) |
13:00-15:30 |
[Poster Presentation]
Selective Inference for Change Point Detection in Multidimensional Sequence |
Yuta Umezu (Nitech), Ichiro Takeuchi (Nitech/RIKEN/NIMS) |
| (39) |
13:00-15:30 |
Compressed Sensing CT image reconstruction using Bayesian Optimization for mixing multiple image priors |
Tomonori Suga, Masato Inoue (Waseda Univ.) |
| (40) |
13:00-15:30 |
[Poster Presentation]
Correcting selection bias in active learning based on selective inference framework |
Yu Inatsu (RIKEN), Ichiro Takeuchi (Nitech/RIKEN/NIMS) |
| (41) |
13:00-15:30 |
[Poster Presentation]
Variational Bayes method for matrix factorization to two sparse factorized matrices |
Tomoki Tamai, Koujin Takeda (Ibaraki Univ.) |
| (42) |
13:00-15:30 |
Estimation of Training Data Distribution from Probabilistic Classifier using Generative Adversarial Networks |
Kosuke Kusano, Jun Sakuma (Univ. Tsukuba) |
| (43) |
13:00-15:30 |
A solution to the inverse Ising problem in tree-reweighted approximation |
Takashi Sano (AIST) |
| (44) |
13:00-15:30 |
Feature Extraction Using Empirical Mode Decomposition for Tire Sensing |
Keita Ishii, Takato Goto (BS), Matsui Tomoko (ISM), Gareth Peters (HW), Nourddine Azzaoui (UCA) |
| (45) |
13:00-15:30 |
[Poster Presentation]
Nearest Neighbor-based Anomaly Detection using Generative Adversarial Networks |
Yoshiyuki Tajima (Hitachi) |
| (46) |
13:00-15:30 |
[Poster Presentation]
Proposal of λ-scan Method in Spectral Deconvolution |
Yohachi Mototake (Univ of Tokyo), Yasuhiko Igarashi (NIMS), Hikaru Takenaka (Univ of Tokyo), Kenji Nagata (AIST), Masato Okada (Univ of Tokyo) |
| (47) |
13:00-15:30 |
Approximated hyperparameter distribution estimation using Gaussian process and Bayesian optimization |
Shun Katakami, Hirotaka Sakamoto, Masato Okada (UTokyo) |
| (48) |
13:00-15:30 |
Good Arm Identification via Bandit Feedback |
Hideaki Kano, Junya Honda (UTokyo/RIKEN), Kentaro Sakamaki (UTokyo), Kentaro Matsuura (Johnson & Johnson), Atsuyoshi Nakamura (HU), Masashi Sugiyama (RIKEN/UTokyo) |
| (49) |
13:00-15:30 |
Statistical Mechanical Analysis of Learning with Two-Layer Perceptron with Multiple Output Units
-- Reconsidering Plateau Phenomenon -- |
Yuki Yoshida (UTokyo), Ryo Karakida (AIST), Masato Okada (UTokyo/AIST/RIKEN BSI), Shun-ichi Amari (RIKEN BSI) |
| (50) |
13:00-15:30 |
Active Learning based on Submodular Optimization Considering Label Expansion |
Masanari Kimura, Kei Wakabayashi (Tsukuba Univ.) |
| (51) |
13:00-15:30 |
|
|
| (52) |
13:00-15:30 |
[Poster Presentation]
Effect of maximum likelihood estimation after L1 regularization in learning of log-linear models |
Kazuya Takabatake, Shotaro Akaho (AIST) |
| (53) |
13:00-15:30 |
The Classification Problem in Generalized Label Noise Model |
Tota Suko, Shunsuke Horii (Waseda Univ) |
| (54) |
13:00-15:30 |
[Poster Presentation]
Structure Learning of Graph Product Multilayer Network-shaped Gaussian Markov Random Fields |
Yuya Takashina, Masato Inoue (Waseda Univ.) |
| (55) |
13:00-15:30 |
[Poster Presentation]
Learning Algorithm in Molecular Adaptation |
Nobuyuki Takahashi (Hokkaido Univ. of Education, Hakodate) |